Improved filtering parameter determination for the Goldstein radar interferogram filter

Z. W. Li; Xiaoli Ding; C. Huang; J. J. Zhu; Y. L. Chen

doi:10.1016/j.isprsjprs.2008.03.001

Improved filtering parameter determination for the Goldstein radar interferogram filter

Z. W. Li, Xiaoli Ding, C. Huang, J. J. Zhu, Y. L. Chen

Research output: Journal article publication › Journal article › Academic research › peer-review

99 Citations (Scopus)

Abstract

Phase noise in a radar interferogram is directly related to interferometric coherence and the look number of the interferogram. Therefore an optimal radar interferogram filter should incorporate information on both interferometric coherence and look number. We present a modification to the commonly used Goldstein filter by suggesting an improved determination of the filtering parameter. Experimental results with both simulated and real data sets show that the new filter offers much better results when used to filter radar interferograms. (ISPRS).

Original language	English
Pages (from-to)	621-634
Number of pages	14
Journal	ISPRS Journal of Photogrammetry and Remote Sensing
Volume	63
Issue number	6
DOIs	https://doi.org/10.1016/j.isprsjprs.2008.03.001
Publication status	Published - 1 Nov 2008

Keywords

Coherence
Look number
Modified Goldstein filter
Phase filtering
Synthetic aperture radar (SAR)

ASJC Scopus subject areas

Atomic and Molecular Physics, and Optics
Engineering (miscellaneous)
Computer Science Applications
Computers in Earth Sciences

More information

10.1016/j.isprsjprs.2008.03.001

Cite this

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AU - Li, Z. W.

AU - Ding, Xiaoli

AU - Huang, C.

AU - Zhu, J. J.

AU - Chen, Y. L.

PY - 2008/11/1

Y1 - 2008/11/1

N2 - Phase noise in a radar interferogram is directly related to interferometric coherence and the look number of the interferogram. Therefore an optimal radar interferogram filter should incorporate information on both interferometric coherence and look number. We present a modification to the commonly used Goldstein filter by suggesting an improved determination of the filtering parameter. Experimental results with both simulated and real data sets show that the new filter offers much better results when used to filter radar interferograms. (ISPRS).

AB - Phase noise in a radar interferogram is directly related to interferometric coherence and the look number of the interferogram. Therefore an optimal radar interferogram filter should incorporate information on both interferometric coherence and look number. We present a modification to the commonly used Goldstein filter by suggesting an improved determination of the filtering parameter. Experimental results with both simulated and real data sets show that the new filter offers much better results when used to filter radar interferograms. (ISPRS).

KW - Coherence

KW - Look number

KW - Modified Goldstein filter

KW - Phase filtering

KW - Synthetic aperture radar (SAR)

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JO - ISPRS Journal of Photogrammetry and Remote Sensing

JF - ISPRS Journal of Photogrammetry and Remote Sensing

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Improved filtering parameter determination for the Goldstein radar interferogram filter

Abstract

Keywords

ASJC Scopus subject areas

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